Introduction

Imagine if you had a crystal ball which could tell you the likelihood for your customers to buy your products before they ever see an offer? Perhaps it would tell you what message would resonate with a customer before they ever see it? Wouldn’t it be amazing if you could predict your customer’s buying behavior and preferences? Perhaps you would make sure you tailor your messaging to speak to as many people with similar interests and preferences as makes sense.

Marketers in today’s ever data driven world are trying to find insights into the customers they serve. What channels are my most successful for conversion? What is my customer lifetime value? What unknown operational, behavioral, or social data are predictive of my buyer’s behavior? These are the questions a data lake strategy coupled with a strong analytics partner or hired analyst can help you answer.